课程信息
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第 4 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为10 小时

建议:5 hours/week...

英语(English)

字幕:英语(English), 法语(French), 阿拉伯语(Arabic), 中文(简体)
User
学习Course的学生是
  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Data Analysts
  • Economists
User
学习Course的学生是
  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Data Analysts
  • Economists

第 4 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为10 小时

建议:5 hours/week...

英语(English)

字幕:英语(English), 法语(French), 阿拉伯语(Arabic), 中文(简体)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

Week 1 - Identify DataSet and UseCase

1 个视频 (总计 2 分钟), 7 个阅读材料, 2 个测验
1 个视频
7 个阅读材料
A warm welcome10分钟
Overview of Architectural Methodologies for DataScience10分钟
Lightweight IBM Cloud Garage Method for Data Science10分钟
Data Sources and Use Cases10分钟
Initial Data Exploration10分钟
Architectural Decisions Document (ADD)10分钟
Process Model Guidelines10分钟
1 个练习
Milestones Checklist Week 1
2
完成时间为 3 小时

Week 2 - ETL and Feature Creation

3 个阅读材料, 2 个测验
3 个阅读材料
Extract Transform Load (ETL)10分钟
Data Cleansing10分钟
Feature Engineering10分钟
1 个练习
Milestones Checklist Week 2
3
完成时间为 2 小时

Week 3 - Model Definition and Training

2 个阅读材料, 2 个测验
2 个阅读材料
Model Definition10分钟
Model Training10分钟
1 个练习
Milestones Checklist Week 3
4
完成时间为 5 小时

Model Evaluation, Tuning, Deployment and Documentation

5 个阅读材料, 4 个测验
5 个阅读材料
Model Evaluation10分钟
Model Deployment10分钟
Data Product (optional)10分钟
Create ADD - Architectural Decisions Document10分钟
Create a Video of your final presentation10分钟
2 个练习
Milestones Checklist Week 4
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4.6
22 个审阅Chevron Right

60%

完成这些课程后已开始新的职业生涯

50%

通过此课程获得实实在在的工作福利

来自Advanced Data Science Capstone的热门评论

创建者 KWJul 12th 2019

Innovative teacher and course. Learned how to make a youtube video beside the data science challenge. On the whole specialization, very comprehensive and set me up to want to delve further next.

创建者 SSJan 14th 2019

I liked the peer-graded environment.\n\nLike the final submission requirements. That's really helps in aquiring the skills like presentation skills, Documentation skills, project mangement

讲师

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

关于 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

关于 Advanced Data Science with IBM 专项课程

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

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